Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning
arxiv.org·19h
🧭Content Discovery
Blazing matrix products
panadestein.github.io·3h·
Discuss: Lobsters
🔄SIMD Programming
From 0→∞: My PhD Lessons on Innovating User-Centric ML Systems
amberljc.github.io·5h·
Discuss: Hacker News
🎭Claude
Reachability in Analog and AMS. Innovation in Verification
semiwiki.com·10h
🛡️AI Safety
Training 10,000 Anomaly Detection Models on One Billion Records with Explainable Predictions
databricks.com·6h
🦆DuckDB
Mitigating the "7 Deadly Fediverse UX Sins"
deadsuperhero.com·19h
📰RSS Reading Practices
An AI Agent That Interprets Papers So You Don’t Have To: Full Build Guide
hackernoon.com·11h
🔄LLM RAG Pipelines
Models, datasets and benchmarks to pay attention to:
threadreaderapp.com·23h
🏆LLM Benchmarking
The 5 new realities of search: Rethinking content strategy for 2026 and beyond
searchengineland.com·9h
💫Search UX
I had to Build a Memory-Efficient Speaker Diarization for large podcast episodes.
askthegame.bearblog.dev·9h
💾Prompt Caching
The Violinist Who Fell in Love With Machine Learning
spectrum.ieee.org·9h
🏆LLM Benchmarking
Data Rescue Project Portal, United Nations History, Google, More: Thursday ResearchBuzz, June 26, 2025
researchbuzz.me·11h
📡RSS
The Discipline of Co-Creation: A Framework of Self-Governance and Mutual Care
write.as·5h
🛡️AI Safety
Show HN: Etasko – Project management with pay-per-use pricing (no subscriptions)
etasko.com·14h·
Discuss: Hacker News
🛠️Solo SaaS Tools
In RAG systems, who's really responsible for hallucination... the model, the retriever, or the data?
reddit.com·8h·
Discuss: r/LocalLLaMA
🔄LLM RAG Pipelines
LAI #81: Reasoning LLMs, Open-Source ChatGPT Alternatives, and Vector DB Showdowns
pub.towardsai.net·8h
🆕New AI
Causal discovery in deterministic discrete LTI-DAE systems
arxiv.org·19h
🔍AI Interpretability
original ↗
canro91.github.io·23h
🌸Bloom Filters
Recent and forecasted rates of software and hardware progress
lesswrong.com·51m
🏆LLM Benchmarking
CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation
arxiv.org·19h
🏆LLM Benchmarking